SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

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Showing 701–710 of 782 papers

TitleStatusHype
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning—0
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings—0
Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles—0
Cross-lingual transfer learning for spoken language understanding—0
Low-Resource Syntactic Transfer with Unsupervised Source Reordering—0
Massively Multilingual Transfer for NERCode0
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some MisconceptionsCode0
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondCode1
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified